Machine learning can read cardiac MRIs with the same accuracy as a physician, with much higher speed, according to a recent study published in Circulation: Cardiovascular Imaging and reported by Cardiovascular Business.
A trained physician typically needs about 13 minutes to analyze heart function on a cardiac MRI, which are commonly used to inform a number of procedures, including the timing of cardiac surgery, the implantation of cardioverter-defibrillators and determining if a patient should continue or cease cardiotoxic chemotherapy.
The AI method for reading 600 cardiac MRIs, as measured by Charlotte Manisty, MD, PhD, and colleagues in the study, accuracy was unchanged, but speed was vastly improved. In fact, leveraging AI to read the scans could save 54 clinician-days annually at every health center in the U.K.
See the full story below:
Amy joined TriMed Media as a Senior Writer for HealthExec after covering home care for three years. When not writing about all things healthcare, she fulfills her lifelong dream of becoming a pirate by sailing in regattas and enjoying rum. Fun fact: she sailed 333 miles across Lake Michigan in the Chicago Yacht Club "Race to Mackinac."